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Engineering blog
How we model composites, crashes, flows and heat, and where machine learning earns its place in the loop. Written by the engineers who run the projects.
How wind noise simulation works for vehicle cabins: aeroacoustic CFD, hydrodynamic and acoustic pressure on glass, seal paths, HVAC blower noise, sound quality targets and where AI helps.
How transfer path analysis splits structure-borne and airborne noise into ranked path contributions, why blocked forces replace fragile force estimates, how hybrid and virtual TPA work with FE and BE models, and where machine learning helps.
How gear whine simulation links transmission error, mesh stiffness, bearings, housing flexibility and acoustic radiation, how rattle differs, and where AI surrogates help driveline NVH.
Control system co-simulation with multibody and finite element plants: flexible modes, actuator and sensor dynamics, exchange step size and stiffness, MIL to SIL through FMI, and where AI helps tuning.
How robot dynamics simulation links payload, joint and link flexibility and tool-centre-point vibration to cycle time, actuator sizing and energy, and where AI surrogates and a digital twin help.
How vehicle dynamics simulation links suspension, tyre and road models to virtual road loads for durability and comfort, how it is verified and validated, and where AI helps and where it does not.
How flexible multibody dynamics couples MBD with FEA through Craig-Bampton reduction, interface and contact loads and stress recovery, so machinery fatigue is judged on loads the part really sees.
How vibration fatigue analysis for eVTOL and VTOL structures works: rotor harmonics, stress power spectral density, Dirlik and rainflow, damping, ground vibration testing and FE model updating with MAC gates, and where AI helps.
How electric motor NVH simulation links slot and pole force orders, PWM switching harmonics, torque ripple, stator and mount modes and the airframe path to the cabin, and where AI helps.
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